Interdisciplinary Projects

Multiscale Multiphysics Modeling and Data-Driven Analysis of Thermofluids Lab

  Research Areas

•  Thermal-Fluid Sciences
•  Data-Driven Modelling for Energy Systems and Fluid Dynamics
•  Reduced-order modelling (ROM) in complex engineering problems
•  Digital Twins and Cyber-Physical Systems

  Applications

  Smart infrastructure development practices

• Wind engineering and hazard mitigation

• UAV-enabled bridge inspection

  Renewable energy technologies (wind, ocean, solar energy)

• Wind farm layout optimization
• EV-charging station 

  Built-environment interdisciplinary energy efficiency solutions

• Microgrids and renewable energy integration
• Prognostics health management system using digital twins

  Medical device engineering and medical science

• Medical imaging
• Cardiovascular modelling using ROM and machine learning
   

Predictive Modeling 
Network for Sustainable Human-Building Ecosystems (SHBE)

• This NSF-funded Research Coordination Network (RCN) in Science, Engineering, and Education for Sustainability (SEES), led by Dr. Tao, is entitled Predictive Modeling Network for Sustainable Human-Building Ecosystems (SHBE).
• It aims to develop a collaborative research platform centred on overcoming bottlenecks in engineering, software, and social/economic sciences that impede the wider application of sustainable building technology.  
• The network activities focus on defining an innovative, new interdisciplinary area, called "Sustainable Human-Building Ecosystems", which integrates human behavioural science, social and economic sciences in tandem with the sciences of building design, engineering, and metrology for data validation of building energy consumption and occupant comforts.

Advanced District Energy Controls for Improved Efficiency and Resilience